Changzeng Fu
The University of Osaka, Northeastern University, Eastern University
Papers
10
Total Citations
119
H-Index
6
About
Changzeng Fu is a researcher specializing in human-robot interaction, social robotics, and affective computing, with a particular focus on how robots can authentically engage humans through dialogue, emotional expression, and shared experience. His most influential contribution — "Sharing Experiences to Help a Robot Present Its Mind and Sociability" (2020, 38 citations) — introduced a novel dialogue framework enabling social robots to convey internal states, fostering deeper long-term engagement. Building on this foundation, Fu has explored how android robots like ERICA can strengthen social connectedness within groups and provide mental health support by emotionally mirroring users' experiences, each work accumulating over 20 citations. His research extends into robot embodiment and perception, investigating how gait dynamics, bodily openness, and nonverbal cues such as tail movements and vertical oscillations shape how humans attribute authority, warmth, and emotion to robots. Fu has also advanced robot-assisted language learning and pioneered gender-free speech style transfer for genderless robots, reflecting a commitment to inclusive design. His more recent work ventures into predictive affective computing and soft robot body awareness, signaling an expanding interdisciplinary vision. Collectively, Fu's scholarship meaningfully shapes how robots can become socially intelligent, emotionally resonant companions.
Research Focus
Key Achievements
Top Papers
- 1Sharing Experiences to Help a Robot Present Its Mind and Sociability38 citations · 2020
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- 4First Attempt of Gender-free Speech Style Transfer for Genderless Robot13 citations · 2022
- 5A systematic review on robot-assisted language learning for adults6 citations · 2024
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